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Paper Citation Record · LEDGER

Efficient Quantum Error Mitigation for Unitary k-Designs

As of 18 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 0 inbound Pith citation observations for arXiv:2606.03891.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2606.03891 v1

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measured 77 of 77 reference resolution

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Outbound references

Observation 6e9ba01e-4286-4431-bdfe-225e92c654c1 · outbound

This paper cites Now, in order to analyze the stability ofN2(Pi), we calculate its variance underP i ∼U P.

Efficient Quantum Error Mitigation for Unitary k-Designs Now, in order to analyze the stability ofN2(Pi), we calculate its variance underP i ∼U P

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Observation eb01d2a4-316a-4d40-bce1-83bfa3efc1b1 · outbound

This paper cites Thus, we need only consider the covariance summation over pairs of adjacent edges in our connectivity graph.

Efficient Quantum Error Mitigation for Unitary k-Designs Thus, we need only consider the covariance summation over pairs of adjacent edges in our connectivity graph

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Observation c95ac3e0-66ab-40d0-a1bd-32cde4188e41 · outbound

This paper cites (15) Using the principle of inclusion-exclusion, we can rewrite this as E Pi∼UP [X(v1,v2)X(v1,v′ 2)] = 1−( Pr Pi∼UP [X(v1,v2) = 0] + Pr Pi∼UP [X(v1,v′.

Efficient Quantum Error Mitigation for Unitary k-Designs (15) Using the principle of inclusion-exclusion, we can rewrite this as E Pi∼UP [X(v1,v2)X(v1,v′ 2)] = 1−( Pr Pi∼UP [X(v1,v2) = 0] + Pr Pi∼UP [X(v1,v′

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Observation 6ac15001-1287-4168-96e9-e7e420903c89 · outbound

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Efficient Quantum Error Mitigation for Unitary k-Designs Unresolved cited work

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Observation 8d9c30b7-ce81-47a7-8864-7cabe7428982 · outbound

This paper cites (16) It is clear that PrPi∼UP [X(v1,v2) = 0] = PrPi∼UP [X(v1,v′.

Efficient Quantum Error Mitigation for Unitary k-Designs (16) It is clear that PrPi∼UP [X(v1,v2) = 0] = PrPi∼UP [X(v1,v′

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Observation d1e05f42-6888-47d9-af6b-4813ae7a67ee · outbound

This paper cites 5 The last term, PrPi∼UP [X(v1,v2) = 0 ∩X (v1,v′.

Efficient Quantum Error Mitigation for Unitary k-Designs 5 The last term, PrPi∼UP [X(v1,v2) = 0 ∩X (v1,v′

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Observation be05eb34-1136-47df-a205-66898916b1f8 · outbound

This paper cites Since there are only three independent qubits (v1 is shared between the pairs), this is simply the probability that the Pauli string contains I at indices v1, v2, and v′.

Efficient Quantum Error Mitigation for Unitary k-Designs Since there are only three independent qubits (v1 is shared between the pairs), this is simply the probability that the Pauli string contains I at indices v1, v2, and v′

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Observation 853d2ff6-8109-4660-8511-9b33152a1a22 · outbound

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Observation 6a88fac1-f27b-457b-bfde-93fc0c0db964 · outbound

This paper cites balanced.

Efficient Quantum Error Mitigation for Unitary k-Designs balanced

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Observation a63726c7-1b4a-4c2e-b79f-58a289378479 · outbound

This paper cites Using a fixed λtarget, find the number of equivalent gates per qubit pair,k(i,j).

Efficient Quantum Error Mitigation for Unitary k-Designs Using a fixed λtarget, find the number of equivalent gates per qubit pair,k(i,j)

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Observation d1c92807-928c-451a-a3c1-0156c81d9ae7 · outbound

This paper cites As such, each gate contributes a global depolarization parameter of approximatelyλ 15 16 target.

Efficient Quantum Error Mitigation for Unitary k-Designs As such, each gate contributes a global depolarization parameter of approximatelyλ 15 16 target

Reference 11

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Observation 362688c3-c2a2-45a5-b9d9-1ff70374f1a6 · outbound

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Efficient Quantum Error Mitigation for Unitary k-Designs Unresolved cited work

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Observation 8ac845f7-096a-4a7c-bb43-a025344e34fe · outbound

This paper cites Produce an average distribu- tionD noisy, avg ={b i, pi}.

Efficient Quantum Error Mitigation for Unitary k-Designs Produce an average distribu- tionD noisy, avg ={b i, pi}

Reference 14

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Observation b098ccb6-e0ca-4713-98ed-422f194bd607 · outbound

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Observation c1beb8d4-5877-44cd-a2a6-7bc69d19ca5c · outbound

This paper cites As such, the final step is to produceD∗ = projCD′, where C is the probability simplex of appropriate dimension.

Efficient Quantum Error Mitigation for Unitary k-Designs As such, the final step is to produceD∗ = projCD′, where C is the probability simplex of appropriate dimension

Reference 16

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Observation 5e42143c-24bc-4c82-860c-11a60782ce01 · outbound

This paper cites Hellinger distance.

Efficient Quantum Error Mitigation for Unitary k-Designs Hellinger distance

Reference 17

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Observation a669fd4a-5f50-4760-8516-809b915cd5a8 · outbound

This paper cites As a result, there is very little additional optimization that circuit balanc- ing can achieve.

Efficient Quantum Error Mitigation for Unitary k-Designs As a result, there is very little additional optimization that circuit balanc- ing can achieve

Reference 18

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Observation f218504b-850d-4111-afeb-e7674e9095fc · outbound

This paper cites We introduce co- herent error via a fixed XX-rotation after each CNOT gate, parametrized by angleθ.

Efficient Quantum Error Mitigation for Unitary k-Designs We introduce co- herent error via a fixed XX-rotation after each CNOT gate, parametrized by angleθ

Reference 19

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Observation e30b6542-c68f-4988-9104-964421d396c9 · outbound

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Efficient Quantum Error Mitigation for Unitary k-Designs Unresolved cited work

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Observation b7f78f91-be04-4aa6-b211-4d0118c00506 · outbound

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Efficient Quantum Error Mitigation for Unitary k-Designs Unresolved cited work

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Observation edf71bb6-b9b8-4e0b-9ea0-bf751d1fba73 · outbound

This paper cites First, we note that without mitigation, the mean Hellinger distance is quite high and is not significantly affected by varying the coherent error strength.

Efficient Quantum Error Mitigation for Unitary k-Designs First, we note that without mitigation, the mean Hellinger distance is quite high and is not significantly affected by varying the coherent error strength

Reference 22

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Observation a0c97325-1220-4d99-bf5a-e2754cf6603f · outbound

This paper cites We now turn to the realistic setting of benchmarking this method on an actual quantum computer.

Efficient Quantum Error Mitigation for Unitary k-Designs We now turn to the realistic setting of benchmarking this method on an actual quantum computer

Reference 23

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Efficient Quantum Error Mitigation for Unitary k-Designs Unresolved cited work

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Observation 26309adf-d92b-4f05-a60c-f6cae618ce6f · outbound

This paper cites Rather than directly reporting depo- larizing parameters, this reports estimated gate infidelities from benchmarking,i.e., the 2-qubit gate infidelities r.

Efficient Quantum Error Mitigation for Unitary k-Designs Rather than directly reporting depo- larizing parameters, this reports estimated gate infidelities from benchmarking,i.e., the 2-qubit gate infidelities r

Reference 25

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Observation 9d0e6d3d-86e8-4f96-a2f5-d5b64a81eb94 · outbound

This paper cites balanced.

Efficient Quantum Error Mitigation for Unitary k-Designs balanced

Reference 26

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Observation 482dd1bc-9fd7-4614-b042-b8a633e3811d · outbound

This paper cites For our device runs, we have used10000shots per circuit and20Pauli twirls such that the shots are evenly distributed over each twirl.

Efficient Quantum Error Mitigation for Unitary k-Designs For our device runs, we have used10000shots per circuit and20Pauli twirls such that the shots are evenly distributed over each twirl

Reference 27

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Observation 69891e6d-7f06-4950-9b39-34b220044056 · outbound

This paper cites However, when estimating circuit-wide depolarization, it will not penalize overestimates.

Efficient Quantum Error Mitigation for Unitary k-Designs However, when estimating circuit-wide depolarization, it will not penalize overestimates

Reference 28

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Observation 33c2550f-cc23-4682-a086-3fb704ba6a3a · outbound

This paper cites Another source of error associated with randomized benchmarking is the presence of crosstalk.

Efficient Quantum Error Mitigation for Unitary k-Designs Another source of error associated with randomized benchmarking is the presence of crosstalk

Reference 29

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Observation 71284ed7-2f8b-47b6-b654-bd2537bd5f65 · outbound

This paper cites Gambetta, and Joseph Emerson.

Efficient Quantum Error Mitigation for Unitary k-Designs Gambetta, and Joseph Emerson

Reference 30

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Observation 675049ce-26c1-4e85-b67c-96e0c69186d7 · outbound

This paper cites Benchmarking quantum logic op- erations relative to thresholds for fault tolerance.npj Quantum Information, 2023.

Efficient Quantum Error Mitigation for Unitary k-Designs Benchmarking quantum logic op- erations relative to thresholds for fault tolerance.npj Quantum Information, 2023

Reference 31

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Observation cbef2797-9c3b-492f-8f78-1b445805ff09 · outbound

This paper cites P lodzie´ n, Lecture notes on information scrambling, quantum chaos, and haar-random states, arXiv preprint arXiv:2511.14397 (2025).

Efficient Quantum Error Mitigation for Unitary k-Designs P lodzie´ n, Lecture notes on information scrambling, quantum chaos, and haar-random states, arXiv preprint arXiv:2511.14397 (2025)

Reference 32

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Observation 1eeb7413-fa07-44b0-9e99-ca69948f7228 · outbound

This paper cites Resource-efficient context-aware dy- namical decoupling embedding for arbitrary large-scale quantum algorithms.PRX Quantum, 2024.

Efficient Quantum Error Mitigation for Unitary k-Designs Resource-efficient context-aware dy- namical decoupling embedding for arbitrary large-scale quantum algorithms.PRX Quantum, 2024

Reference 33

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Observation 694113bd-7fb1-4950-8331-d1dc2805b3fb · outbound

This paper cites Sutherland et al.

Efficient Quantum Error Mitigation for Unitary k-Designs Sutherland et al

Reference 34

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Observation aa8d9489-2e5b-4e36-ac7f-28798ec9ed1b · outbound

This paper cites Nation et al.

Efficient Quantum Error Mitigation for Unitary k-Designs Nation et al

Reference 35

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Observation 3d802198-5f16-4dc0-8d54-f410206778ea · outbound

This paper cites Digital zero noise extrapola- tion for quantum error mitigation.IEEE, 2021.

Efficient Quantum Error Mitigation for Unitary k-Designs Digital zero noise extrapola- tion for quantum error mitigation.IEEE, 2021

Reference 36

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Observation a4c22f44-a78b-40a2-bbca-41650f7d7b41 · outbound

This paper cites Best practices for quantum error mitigation with digital zero-noise extrapolation.2023 International Conference on Quantum Computing and Engineering, 2023.

Efficient Quantum Error Mitigation for Unitary k-Designs Best practices for quantum error mitigation with digital zero-noise extrapolation.2023 International Conference on Quantum Computing and Engineering, 2023

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source=pdf_text observed=2026-06-28T09:36:31.379980Z digest=sha256:3895545296c29ed2537d488d3b74ff97bb43ec6fe9ffa06fff11b051140ece5e

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Efficient Quantum Error Mitigation for Unitary k-Designs Error mitigation for short-depth quantum circuits.Phys

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Efficient Quantum Error Mitigation for Unitary k-Designs Probabilistic error cancella- tion with sparse pauli–lindblad models on noisy quantum processors.Nature, 2023

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source=pdf_text observed=2026-06-28T09:36:31.379980Z digest=sha256:52968fae15b48f7d99ab84e7a917a554c155a16c797da2fc2b89f6e4d68fb6a7

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Efficient Quantum Error Mitigation for Unitary k-Designs Scalable tensor-network error mitigation for near-term quantum computing

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source=pdf_text observed=2026-06-28T09:36:31.379980Z digest=sha256:54c5d67bb3752b80e9617bfa18e1be1f51f75b989935cae7070cc9971f72e843

Observation 50279bfa-b9b0-4e6a-bc3f-3e9b4cc9b16a · outbound

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Efficient Quantum Error Mitigation for Unitary k-Designs Tensor network noise character- ization for near-term quantum computers.Phys

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source=pdf_text observed=2026-06-28T09:36:31.379980Z digest=sha256:40b96d5e2e77e4f229a43a5f3f1e895ee28f1a29b04578415d6dc0e444960657

Observation 354ed903-11a5-48e1-a610-fdbf96bb191c · outbound

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Efficient Quantum Error Mitigation for Unitary k-Designs Error mitigation thresholds in noisy random quantum circuits.Phys

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Efficient Quantum Error Mitigation for Unitary k-Designs Quantum supremacy using a pro- grammable superconducting processor.Nature, 2019

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source=pdf_text observed=2026-06-28T09:36:31.379980Z digest=sha256:18fa17e2b7cefa41f13e0934e7d6225152d7e9959884df1d1f1b945245d269fe

Observation c2dc2c39-0036-47e5-86c2-af8a609c92c2 · outbound

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Efficient Quantum Error Mitigation for Unitary k-Designs Extending the computational reach of a noisy superconducting quantum processor.Na- ture, 2019

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source=pdf_text observed=2026-06-28T09:36:31.379980Z digest=sha256:e0bef1a8d59f33aeeef70b2823c4d041876548801447bd766354876e0a15412e

Observation d9aed06a-482b-48a0-83e9-29953541f45c · outbound

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Efficient Quantum Error Mitigation for Unitary k-Designs Scalable error mitigation for noisy quantum circuits produces competitive expectation values

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source=pdf_text observed=2026-06-28T09:36:31.379980Z digest=sha256:4c4747002063d708d9123e30913b955277af0deaa721c47ee98b6464b40a816c

Observation de35339a-f037-4619-bcae-4462f39286e4 · outbound

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Efficient Quantum Error Mitigation for Unitary k-Designs Resource efficient zero noise extrapolation with identity insertions.Phys

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source=pdf_text observed=2026-06-28T09:36:31.379980Z digest=sha256:512f046319d05f185fee7add2289fc825a57b390c7aae72ab09115c47660d19e

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Efficient Quantum Error Mitigation for Unitary k-Designs Inverted-circuit zero-noise extrapo- lation for quantum gate error mitigation.Phys

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source=pdf_text observed=2026-06-28T09:36:31.379980Z digest=sha256:b2958021c1759471cfb4cfd052ca53a77352d45773a33d4d8d59c606614676ba

Observation 04ae16ca-05ff-42a8-8465-33b9ef8a4f30 · outbound

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Efficient Quantum Error Mitigation for Unitary k-Designs Optimization of richardson extrapolation for quantum error mitigation.Phys

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source=pdf_text observed=2026-06-28T09:36:31.379980Z digest=sha256:f93a0befb69abcb1c4c72193cae80b140a1b05a393b3f24560639ed928099bfa

Observation 5208cec6-265a-4900-9be7-1d02590c4f65 · outbound

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Efficient Quantum Error Mitigation for Unitary k-Designs Direct analysis of zero- noise extrapolation: Polynomial methods, error bounds, and simultaneous physical-algorithmic error mitigation

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source=pdf_text observed=2026-06-28T09:36:31.379980Z digest=sha256:dab78750e0ddda0d19aa1f719f585b1ebc98f666eae494068c6d1f1f69e3cb42

Observation d0ab0a5e-09f8-4590-a656-12a2741af03b · outbound

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Efficient Quantum Error Mitigation for Unitary k-Designs Unresolved cited work

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source=pdf_text observed=2026-06-28T09:36:31.379980Z digest=sha256:c42cb11f922f76c61cf42257f37bb4ba5615ed2c52846d0cbb78840041c012a9

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Efficient Quantum Error Mitigation for Unitary k-Designs Improving zero-noise extrapolation for quantum-gate error mitigation using a noise-aware folding method.arXiv:2401.12495, 2024

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source=pdf_text observed=2026-06-28T09:36:31.379980Z digest=sha256:cae89e25d2e14857e9ba555a8e6c1e08291b216df8266e9d08af171e40a43553

Observation b03412d8-8c5e-4347-a285-01889b15b028 · outbound

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Efficient Quantum Error Mitigation for Unitary k-Designs Evidence for the utility of quantum computing before fault tolerance.Nature, 2023

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source=pdf_text observed=2026-06-28T09:36:31.379980Z digest=sha256:545752511b97bb4e96bf8491776e1b8fba68612839251bfb029e21fa9e36d777

Observation a56122a1-6af7-4620-874c-70814494d15e · outbound

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Efficient Quantum Error Mitigation for Unitary k-Designs Characterizing large-scale quan- tum computers via cycle benchmarking.Nature, 2019

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source=pdf_text observed=2026-06-28T09:36:31.379980Z digest=sha256:f27f0604c61a05aa66b63fa71f8abc55b87eaf3c2845955f29d1a54ed0d78f2d

Observation f034d545-b614-40ec-9f93-ff9e42b4818f · outbound

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Efficient Quantum Error Mitigation for Unitary k-Designs Direct randomized benchmarking for multi-qubit devices.Phys

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source=pdf_text observed=2026-06-28T09:36:31.379980Z digest=sha256:8a9da80e8882430d0f42d11356bba49404c3c5b665ccd7f7ef2cbb1113b519dd

Observation 5c61641a-1d8d-4aa2-98ac-86d8b3f53547 · outbound

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source=pdf_text observed=2026-06-28T09:36:31.379980Z digest=sha256:74fe977df67212c3bc7f1a1e05508d7e50f400c9e99343afe08564cd7f8b1e77

Observation 75330c69-05e7-4112-9375-019f20a81766 · outbound

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Efficient Quantum Error Mitigation for Unitary k-Designs Efficient measurement of quantum gate error by interleaved randomized benchmarking.Phys

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source=pdf_text observed=2026-06-28T09:36:31.379980Z digest=sha256:5f3af021942a7a91df4b821743b4c5193eaaff6e2161b8c5951ca5d1eda5cba3

Observation dbaac90f-3844-4e52-8c3a-9f048dc01385 · outbound

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Efficient Quantum Error Mitigation for Unitary k-Designs Noise tailoring for scalable quantum computation via randomized compiling.Phys

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source=pdf_text observed=2026-06-28T09:36:31.379980Z digest=sha256:c78136008b6773fd3c3c4b092defe7cff5e8dd19a68ca62017c8d15ec6f32068

Observation 395feb63-d9d1-4bc7-bc17-0c754d6fda3d · outbound

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Efficient Quantum Error Mitigation for Unitary k-Designs Exact and approximate unitary 2-designs and their application to fidelity estimation.Phys

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Observation 5c5d4536-b9fb-43b7-82e0-8231c939dec9 · outbound

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Efficient Quantum Error Mitigation for Unitary k-Designs Characterizing quantum supremacy in near-term devices.Nature, 2018

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source=pdf_text observed=2026-06-28T09:36:31.379980Z digest=sha256:8fc0e57156d645aca2ca3c973a885278a64a134b10b2c2f1f797ffda7cec5821

Observation 4fa25131-4e39-407d-be2d-e48931f5c9e6 · outbound

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Efficient Quantum Error Mitigation for Unitary k-Designs Simulating prethermalization using near-term quantum computers.PRX Quantum, 2023

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source=pdf_text observed=2026-06-28T09:36:31.379980Z digest=sha256:a795a67b112d9481b93c4453b1b71bb328b3d464d3b24020acbed1544645dba1

Observation 01b9f5db-9ba2-43a0-a969-4edbf1cc5054 · outbound

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source=pdf_text observed=2026-06-28T09:36:31.379980Z digest=sha256:61923ae9fb9bf44424d9899b03318f85622ce33f0b055a50fa26a29c84cb04b7

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Efficient Quantum Error Mitigation for Unitary k-Designs Logical error rates for 16 the surface code under a mixed coherent and stochastic circuit-level noise model inspired by trapped ions.Phys

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source=pdf_text observed=2026-06-28T09:36:31.379980Z digest=sha256:a3478032bbee5d7aef14abbbc91a6762544dd4762416ce545aa49c7b0da9395d

Observation 80d83fc1-518a-4e0e-bd25-8a78138b2e87 · outbound

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source=pdf_text observed=2026-06-28T09:36:31.379980Z digest=sha256:3d37f1ad0b259cdd8b610e2080d6754b69f623b0b01cb06ee0ff062f5d2abe9a

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source=pdf_text observed=2026-06-28T09:36:31.379980Z digest=sha256:0a19b2d932a25a686c5aa676d6a836a4d247804d2db3d6d02bad887615e49922

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source=pdf_text observed=2026-06-28T09:36:31.379980Z digest=sha256:e1344c8fb30e895790f340ad26fbc42c5ee8dc192bc2a38bc6c915eeb7ad7c70

Observation 20e28bf3-240d-4343-8279-6f551f3d9cd8 · outbound

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source=pdf_text observed=2026-06-28T09:36:31.379980Z digest=sha256:f361aa316f40d138f0a64832c33de330fa4ee7409cd998ab5b0d93aefd3933bc

Observation 7b0c8a3a-2681-401a-b90e-ed81059246fc · outbound

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source=pdf_text observed=2026-06-28T09:36:31.379980Z digest=sha256:3fac98eb69950bc66e5b103ac72edc9dba706928d66b55786309a0fc31b0dfa3

Observation 5aa2f214-cb40-4d71-adb6-d9979fa39392 · outbound

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source=pdf_text observed=2026-06-28T09:36:31.379980Z digest=sha256:04767342da030fb5ee32ac233682d18f4bbcf9d622e09cc1ed6d38bc2e83ce85

Observation bfd5c529-159a-48ac-b89e-621a85dc75be · outbound

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source=pdf_text observed=2026-06-28T09:36:31.379980Z digest=sha256:3ac1ec6caee3f062a0c751f28d6a1552562ddc06df60157a0175b95fe503d06a

Observation 0661e100-760c-43e2-b58f-3b3d503b5df1 · outbound

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source=pdf_text observed=2026-06-28T09:36:31.379980Z digest=sha256:6e8813d56280c197b2d969cbb285f455ac9363778440d22a74422e04429dc8a1

Observation bf52fafb-0f39-438b-8f93-eb30694216bc · outbound

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source=pdf_text observed=2026-06-28T09:36:31.379980Z digest=sha256:b8969956d90e49f4145f90a93a0b6408cb551d4d5aa935a81e2988a4102135c5

Observation 7eb5bde6-1e6d-4016-894c-50b8099ea1f7 · outbound

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source=pdf_text observed=2026-06-28T09:36:31.379980Z digest=sha256:661124e7a5f0f4e0c02337c11688190cbf2c7d8f1e088d5ad8aeaf1021e64e1a

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source=pdf_text observed=2026-06-28T09:36:31.379980Z digest=sha256:f1eac32b1ea0b62adb7739c9ac4a066778dc67d0e13d33de624b3308e7eaf579

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Observation 5699bcad-2ba9-4de3-a7fb-712686400620 · outbound

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source=pdf_text observed=2026-06-28T09:36:31.379980Z digest=sha256:cc97adc4a17e6a30ec3e6887476669e163e45bb975e0eed382c08fb3792363cf

Observation 5c4cfd3f-6baa-455b-a376-67f389dc92ab · outbound

This paper cites A polynomial-time classical algo- rithm for noisy random circuit sampling.STOC 2023: Proceedings of the 55th Annual ACM Symposium on The- ory of Computing, 2023.

Efficient Quantum Error Mitigation for Unitary k-Designs A polynomial-time classical algo- rithm for noisy random circuit sampling.STOC 2023: Proceedings of the 55th Annual ACM Symposium on The- ory of Computing, 2023

Reference 76

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no resolver link, observed 2026-06-28T09:36:31.379980Z

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source=pdf_text observed=2026-06-28T09:36:31.379980Z digest=sha256:1928f2a3b106883a2ff6c387cb267dfd11855bffcac19655bf5210bf0d39dac1

Observation a7a641ac-5181-48fd-b46e-79e9dcf77bb6 · outbound

This paper cites Nelson, J.

Efficient Quantum Error Mitigation for Unitary k-Designs Nelson, J

Reference 77

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arxiv_id, observed 2026-07-02T03:56:34.564895Z

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source=pdf_text observed=2026-06-28T09:36:31.379980Z digest=sha256:1f99cffc1f799a360192fd118250f45c451dad6597f8ed4eee49adfb899c578c

Pith citing papers

No inbound Pith citation observations are available.